Quiz AIOps-Foundation - Newest DevOps Institute AIOps Foundation V1.0 Reliable Exam Tips

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

Topic	Details
Topic 1	Implementing AIOps: This section of the exam measures the skills of project managers and covers challenges, trends, and ethical considerations organizations may face when deploying an AIOps initiative. It emphasizes strategic planning for successful implementation while addressing potential risks.
Topic 2	Core Technologies: Machine Learning (ML): This section of the exam measures the skills of machine learning practitioners and covers the role of AI and machine learning in AIOps. It includes discussions on supervised versus unsupervised learning, differences between ML and analytics, and training models for practical applications. A vital skill evaluated is understanding how to apply machine learning techniques to enhance operational efficiency.
Topic 3	AIOps and Operations Metrics: This section of the exam measures the skills of performance analysts and covers industry-standard metrics used to quantify the outcomes of implementing AIOps solutions.
Topic 4	AIOps Use Cases and Organisational Mindset: This section of the exam measures the skills of the target audience and covers the challenges and opportunities associated with applying AIOps within organizations. It focuses on fostering an organizational mindset that embraces innovation through AIOps.
Topic 5	AIOps Fundamentals: This section of the exam measures the skills of IT operations professionals and covers the evolution of AIOps, differentiating it from IT Operations Analytics. It also explores the current stages of an AIOps system and its significance in modern IT environments. A key skill assessed is understanding the foundational concepts that drive AIOps adoption.
Topic 6	Evaluating AIOps Impact: This section of the exam measures the skills of professionals and covers methods for measuring the effectiveness of AIOps deployments. It discusses how to assess potential benefits such as improved efficiency and reduced operational costs.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q35-Q40):

NEW QUESTION # 35
Reactive Operations rely on:

A. Lagging indicators
B. Big Data
C. Prediction and inference
D. Leading indicators

Answer: A

Explanation:
Reactive operations focus on responding to incidents after they have occurred, relying on lagging indicators- metrics that reflect past events or performance. These indicators, such as system downtime reports or post- incident analyses, provide insights into issues that have already impacted the system. While useful for understanding and addressing past problems, reliance solely on lagging indicators can lead to delayed responses and prolonged downtime. AIOps aims to shift operations from reactive to proactive by utilizing leading indicators and predictive analytics to anticipate and prevent issues before they occur.

NEW QUESTION # 36
Data that does not have a predefined structure or format and is usually in the form of text-heavy content is usually described as:

A. Time-series data
B. Structured data
C. Semi-structured data
D. Unstructured data

Answer: D

Explanation:
Unstructured data lacks a predefined structure or format and is often text-heavy, including documents, emails, social media posts, and multimedia content. Unlike structured data, which resides in fixed fields within databases, unstructured data does not fit neatly into relational databases. The DevOps Institute's AIOps Foundation course highlights the challenges and importance of processing unstructured data in IT operations, as it contains valuable insights that can enhance decision-making and operational efficiency.

NEW QUESTION # 37
What does AlOps stand for?

A. Artificial Intelligence Operations
B. Artificial Intelligence in DevOps
C. Artificial Intelligence in IT Operations
D. Augmented Interfaces in IT Operations

Answer: C

Explanation:
AIOps stands for "Artificial Intelligence in IT Operations." This term refers to the application of artificial intelligence (AI) and machine learning (ML) technologies to enhance and automate various aspects of IT operations. By leveraging big data analytics, AIOps platforms can analyze vast amounts of data generated by IT systems to identify patterns, detect anomalies, and automate responses to operational issues.
The DevOps Institute's AIOps Foundation course emphasizes that AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination. This integration enables IT teams to proactively manage complex IT environments, improve system performance, and reduce downtime.
Implementing AIOps involves several key steps:
* Data Aggregation: Collecting and aggregating data from various IT operations sources, such as logs, metrics, and events.
* Data Analysis: Applying machine learning algorithms to analyze the aggregated data, identifying patterns and anomalies that could indicate potential issues.
* Automated Response: Utilizing AI-driven insights to automate responses to detected issues, such as triggering alerts, executing remediation scripts, or adjusting system configurations.
* Continuous Improvement: Regularly refining AI models and operational processes based on feedback and evolving data patterns to enhance the effectiveness of the AIOps solution.
By following these steps, organizations can achieve a more proactive and efficient IT operations management approach, leading to improved reliability and performance of their IT services.
For more detailed information, refer to the DevOps Institute's AIOps Foundation course materials.

NEW QUESTION # 38
How should outcomes of an AlOps system be defined?

A. Realistically and aimed at gradual improvement
B. Not-deterministically
C. AlOps is a silver bullet that will increase resiliency overnight
D. Loosely and randomly

Answer: A

Explanation:
Defining outcomes for an AIOps system should be approachedrealistically, with a focus ongradual improvement. AIOps is not a quick fix; it requires careful planning, realistic goal-setting, and iterative enhancements. By setting achievable objectives and continuously refining processes, organizations can effectively integrate AIOps into their IT operations, leading to sustained improvements over time.

NEW QUESTION # 39
With AlOps, offering aggressive SLAs results in:

A. Increased risk
B. No change to risk
C. There is no relation
D. Decreased risk

Answer: A

Explanation:
Offering aggressive Service Level Agreements (SLAs) with AIOps can lead to increased risk if the organization lacks the necessary infrastructure and processes to meet these stringent targets. Unrealistic SLAs may result in overcommitment, leading to potential service breaches, customer dissatisfaction, and reputational damage. It's essential to set achievable SLAs that align with the organization's capabilities, even when leveraging advanced tools like AIOps.

NEW QUESTION # 40
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Quiz AIOps-Foundation - Newest DevOps Institute AIOps Foundation V1.0 Reliable Exam Tips

Peoplecert AIOps-Foundation Exam Syllabus Topics:

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q35-Q40):

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